The Spillover Effects of Health IT Investments on Regional Healthcare Costs

References

• Adler-Milstein J, Jha AK (2014) No evidence found that hospitals are using new electronic health records to increase Medicare reimbursements. Health Affairs 33(7):1271–1277.Crossref, Google Scholar
• Adler-Milstein J, Bates DW, Jha AK (2009) U.S. regional health information organizations: Progress and challenges. Health Affairs 28(2):483–492.Crossref, Google Scholar
• Agha L (2014) The effects of health information technology on the costs and quality of medical care. J. Health Econom. 34:19–30.Crossref, Google Scholar
• Athey S, Stern S (2000) The impact of information technology on emergency health care outcomes. RAND J. Econom. 33(3):399–432.Crossref, Google Scholar
• Ayabakan S, Bardhan I, Zheng Z, Kirksey K (2014) Value of health information sharing in reducing healthcare waste: An analysis of duplicate testing across hospitals. Proc. Thirty-Fifth Internat. Conf. Inform. Systems (Association for Information Systems, Auckland, New Zealand).Google Scholar
• Barnett ML, Landon B, O’Malley J, Onnela J, Keating N, Christakis N (2011) Mapping physician networks with self-reported and administrative data. Health Services Res. 46(5):1592–1609.Crossref, Google Scholar
• Barnett ML, Christakis N, O’Malley J, Onnela J, Keating N, Landon B (2012) Physician patient-sharing networks and costs of care. Medical Care 50(2):152–160.Crossref, Google Scholar
• Bhargava H, Mishra A (2014) Electronic medical records and physician productivity: Evidence from panel data analysis. Management Sci. 60(10):2543–2562.Link, Google Scholar
• Bloom N, Schankerman M, Van Reenen J (2013) Identifying technology spillovers and product market rivalry. Econometrica 81(3):1347–1393.Google Scholar
• Borzekowski R (2009) Measuring the cost impact of hospital information systems: 1987–1994. J. Health Econom. 28(5):938–949.Crossref, Google Scholar
• Bresnahan T, Greenstein S (1996) Technical progress and co-invention in computing and in the uses of computers. Brookings Papers Econom. Activity Microeconom., 1–83.Crossref, Google Scholar
• Brynjolfsson E, Hitt L (1995) Information technology as a factor of production: The role of differences among firms. Econom. Innovation New Tech. 3(4):183–200.Crossref, Google Scholar
• Brynjolfsson E, Hitt L (1996) Paradox lost? Firm-level evidence on the returns to information systems spending. Management Sci. 42(4):541–558.Link, Google Scholar
• Brynjolfsson E, Hitt L (2003) Computing productivity: Firm-level evidence. Rev. Econom. Statist. 85(4):793–808.Crossref, Google Scholar
• Brynjolfsson E, Hitt L, Yang S (2002) Intangible assets: Computers and organizational capital. Brookings Papers Econom. Activity 1:137–198.Crossref, Google Scholar
• Buntin MB, Burke MF, Hoaglin MC, Blumenthal D (2011) The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs 30(3):464–471.Crossref, Google Scholar
• Bureau of Labor Statistics (2005) High-technology employment: A NAICS-based update. https://www.bls.gov/opub/mlr/2005/07/art6full.pdf.Google Scholar
• Centers for Disease Control and Prevention (2015) Health, United States, 2015: With Special Feature on Racial and Ethnic Health Disparities. Report, U.S. Government Printing Office, Washington, DC.Google Scholar
• Congressional Budget Office (2008) Evidence on the costs and benefits of health information technology. Report, Congressional Budget Office, Washington, DC.Google Scholar
• Chang YB, Gurbaxani V (2012) The impact of it-related spillovers on long-run productivity: An empirical analysis. Inform. Systems Res. 23(3):868–886.Link, Google Scholar
• Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, Morton SC, Shekelle PG (2006) Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Ann. Internal Medicine 144(10):742–752.Crossref, Google Scholar
• Cheng Z, Nault BR (2007) Industry level supplier-driven it spillovers. Management Sci. 53(8):1199–1216.Link, Google Scholar
• Cheng Z, Nault BR (2012) Relative industry concentration and customer-driven it spillovers. Inform. Systems Res. 23(2):340–355.Link, Google Scholar
• Dedrick J, Gurbaxani V, Kraemer K (2003) Information technology and economic performance: A critical review of the empirical evidence. ACM Comput. Surveys 35(1):1–28.Crossref, Google Scholar
• Dranove D, Forman C, Goldfarb A, Greenstein S (2014) The trillion dollar conundrum: Complementarities and health information technology. Amer. Econom. J. Econom. Policy 6(4):239–270.Crossref, Google Scholar
• Fisher ES, Bynum JP, Skinner JS (2009) Slowing the growth of health care costs—Lessons from regional variation. New England J. Medicine 360(9):849–852.Crossref, Google Scholar
• Han K, Chang YB, Hahn J (2011) Information technology spillover and productivity: The role of information technology intensity and competition. J. Management Inform. Systems 28(1):115–145.Crossref, Google Scholar
• Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, Taylor R (2005) Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Affairs 24(5):1103–1117.Crossref, Google Scholar
• HIMSS (2011) Essentials of the U.S. hospital IT market, sixth edition. Report, https://app.himssanalytics.org/docs/Essentials/6thEditionEssentialsEMRAM.pdf.Google Scholar
• Huang SS, Avery TR, Song Y, Elkins KR, Nguyen CC, Nutter SK, Nafday AS, Condon CJ, Chang MT, Chrest D (2010) Quantifying interhospital patient sharing as a mechanism for infectious disease spread. Infection Control Hospital Epidemiol. 31(11):1160–1169.Crossref, Google Scholar
• Jones SS, Heaton PS, Rudin RS, Schneider EC (2012) Unraveling the it productivity paradox—Lessons for health care. New England J. Medicine 366(24):2243–2245.Crossref, Google Scholar
• Katz ML, Shapiro C (1985) Network externalities, competition, and compatibility. Amer. Econom. Rev. 75(3):424–440.Google Scholar
• Kripalani S, LeFevre F, Phillips C, William M, Basaviah P, Baker D (2007) Deficits in communication and information transfer between hospital-bases and primary care physicians. J. Amer. Medical Assoc. 297(8):831–841.Crossref, Google Scholar
• Lammers EJ, Adler-Milstein J, Kocher KE (2014) Does health information exchange reduce redundant imaging? Evidence from emergency departments. Medical Care 52(3):227–234.Crossref, Google Scholar
• Landon B, Keating N, Barnett M, Onnela J, Paul S, O’Malley J, Keegan T, Christakis N (2012) Variation in patient-sharing networks of physicians across the United States. J. Amer. Medical Assoc. 308(3):265–273.Crossref, Google Scholar
• Lee BY, McGlone SM, Song Y, Avery TR, Eubank S, Chang CC, Bailey RR, Wagener DK, Burke DS, Platt R (2011) Social network analysis of patient sharing among hospitals in Orange County, California. Amer. J. Public Health 101(4):707–713.Crossref, Google Scholar
• Lewis CE (1969) Variations in the incidence of surgery. New England J. Medicine 281(16):880–884.Crossref, Google Scholar
• Lichtenberg F (1995) The output contributions of computer equipment and personnel: A firm-level analysis. Econom. Innovation New Tech. 3:201–218.Crossref, Google Scholar
• Markus ML, Steinfield CW, Wigand RT (2006) Industry-wide information systems standardization as collective action: The case of the U.S. residential mortgage industry. MIS Quart. 30(Special Issue):439–465.Crossref, Google Scholar
• McCullough J, Parente S, Town R (2016) Health information technology and patient outcomes: The role of information and labor coordination. RAND J. Econom. 47(1):207–236.Crossref, Google Scholar
• McPherson K, Strong P, Epstein A, Jones L (1981) Regional variations in the use of common surgical procedures: Within and between England and Wales, Canada and the United States of America. Social Sci. Medicine Part A: Medical Psych. Medical Sociol. 15(3):273–288.Crossref, Google Scholar
• Miller AR, Tucker C (2011) Can health care information technology save babies? J. Political Econom. 119(2):289–324.Crossref, Google Scholar
• O’Malley A, Grossman J, Cohen G, Kemper N, Pham H (2009) Are electronic medical records helpful for care coordination of physician practices. J. General Internal Medicine 25(3):177–185.Crossref, Google Scholar
• Parente S, McCullough J (2009) Health information technology and patient safety: Evidence from panel data. Health Affairs 28(2):357–360.Crossref, Google Scholar
• PricewaterhouseCoopers (2008) The price of excess: Identifying waste in healthcare spending. (PricewaterhouseCoopers’ Health Research Institute.Google Scholar
• Sidorov J (2006) It ain’t necessarily so: The electronic health record and the unlikely prospect of reducing health care costs. Health Affairs 25(4):1079–1085.Crossref, Google Scholar
• Tambe P, Hitt LM (2014) Job hopping, information technology spillovers, and productivity growth. Management Sci. 60(2):338–355.Link, Google Scholar
• U.S. Centers for Medicare and Medicaid Services (2010) National health expenditure projections 2010–2020. Report, U.S. Centers for Medicare and Medicaid Services, Baltimore, MD.Google Scholar
• Welch WP, Miller ME, Welch HG, Fisher ES, Wennberg JE (1993) Geographic variation in expenditures for physicians’ services in the United States. New England J. Medicine 328(9):621–627.Crossref, Google Scholar
• Wennberg JE (1984) Dealing with medical practice variations: A proposal for action. Health Affairs 3(2):6–32.Crossref, Google Scholar
• Wennberg JE, Fowler FJ (1977) A test of consumer contribution to small area variations in health care delivery. J. Maine Medical Assoc. 68(8):275–279.Google Scholar
• Wennberg J, Gittelsohn A (1973) Small area variations in health care delivery: A population-based health information system can guide planning and regulatory decision-making. Science 182(4117):1102–1108.Crossref, Google Scholar
• Zhu K, Kraemer KL, Gurbaxani V, Xu SX (2006) Migration to open-standard interorganizational systems: Network effects, switching costs, and path dependency. MIS Quart. 30(Special Issue):515–538.Crossref, Google Scholar